Results 221 to 230 of about 312,559 (266)
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Parametric Reshaping of Portrait Images for Weight-change
IEEE Computer Graphics and Applications, 2018We present an easy-to-use parametric image retouching method for thinning or fattening a face in a single portrait image while maintaining a close similarity to the source image. First, our method reconstructs a 3D face from the input face image using a morphable model.
Haiming Zhao +4 more
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Parametric Uncertainty Analysis in a Phase Change Model
9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 2002A phase-change model for solidification of aluminum parts in a steel mold is studied. Material parameters for this model were obtained from a literature search. There are variations in these parameter values which are used to perform an uncertainty analysis, estimating the influ- ence of these variations on the computed finite element solution. Details
Jeff Borggaard +2 more
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The Future of the Pension System: Parametric Changes or Change of Paradigm? [PDF]
SSRN Electronic Journal, 2012 The principal objective of this paper is to discuss shortcomings of the current paradigm of provision of the retirement income. The main conclusion is that in post-industrial society the traditional pension system, a mandatory and comprehensive earnings related scheme, should be replaced by a combination of voluntary private pension schemes funded by ...
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Explaining changes in Italian consumption of meat: Parametric and non-parametric analysis
European Review of Agricultural Economics, 1994Lewbel's composite model for comparing the AIDS and Translog demand systems is estimated using Italian meat-consumption data. Preliminary non-parametric diagnoses suggest that exogenous shifters of price and expenditure need not be introduced into a parametric model.
GABRIELE DONO, GARY THOMPSON
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Parametric changes in the history of the Greek article
2011In this paper I argue that meaningful explanations of syntactic change may be in fact attained by assuming both a solid theory of synchronic description and a strong hypothesis on diachronic variation, able to lead different and apparently unrelated phenomena back to a unique evolutionary development.The theoretical framework is based on the recent ...
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Invariance of Geometric Spreading Loss with Changes in Ray Parametrization
The Journal of the Acoustical Society of America, 1971In the ray theory of acoustics, there has been some confusion regarding the variables to be held constant in the evaluation of partial derivatives of the ray position vector in the calculation of geometric spreading loss. It is shown that the general formula for spreading loss remains unchanged when the parameter along a ray is changed from travel time
Warfield, J. T., Jacobson, M. J.
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A Non-Parametric Approach to the Change-Point Problem
Applied Statistics, 1979Non‐parametric techniques are introduced for the change‐point problem. Exact and approximate results are obtained for testing the null hypothesis of no change. The methods are illustrated by the analysis of three sets of data illustrating the techniques for zero–one observations, Binomial observations and continuous observations.
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Non-parametric change point detection for spike trains
2016 Annual Conference on Information Science and Systems (CISS), 2016Two techniques of non-parametric change point detection are applied to two different neuroscience datasets. In the first dataset, we show how the multivariate non-parametric change point detection can precisely estimate reaction times to input stimulation in the olfactory system using joint information of spike trains from several neurons.
Thiago Mosqueiro +5 more
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Productivity change model in the airline industry: A parametric approach
European Journal of Operational Research, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rakhmat Ceha, Hiroshi Ohta
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Nonparametric and Parametric Methods for Change-Point Detection in Parametric Models
2018We consider a posteriori and a priori change-point models. The parametric regression functions of the each phase can be nonlinear or linear, and moreover, in the linear case, the number of the explanatory variables could be large. Theoretical results and simulations are presented for each model.
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